Thought Leaders in Big Data: Don DeLoach, CEO of Infobright (Part 4)

Don DeLoach: I’ll just give you a quick example. One of our really good customers is JDS Uniphase. They had an application that did network troubleshooting but it was based on a traditional database. What they found was that the increase on the load of the network required their customers to continually index the database, which slowed down load speeds. In order to operate the overall application, it required more human capital and more hardware, and it was getting costly for both JDSU and their customers.

They recognized the need to evolve this system in ways that enhance the value of the application. So, they replaced the traditional database with Infobright. The net result was that they were able to vastly decrease the amount of disks required while increasing the retention dramatically. So, instead of having to curtail the retention period of that data, they were able to dramatically expand it so that they could get deeper and richer signatures while troubleshooting. They also opened up the load speeds significantly. What had been becoming a little bit of an impediment gave them scalability. At the same time, they virtually cut out administrative requirements borne by their customers. All the while, the performance got better.

It’s a disruptive technology in that context because it allows the solution to store and analyze machine-generated data with lesser resources while delivering greater results in an easier to install and maintain fashion. That fundamentally represents the benefits that we deliver to all of our OEM relationships. We probably have somewhere in the area of 10 OSS troubleshooting type applications. We have quality of service applications that our customers are delivering with us under the cover. We have a couple of customer experience management solutions, which is really going up the stack in terms of the utilization and leveraging of the utility value of the data, if you will.

In some of the traditional log management use cases, considerations might be, “How do I increase the retention periods and the reach of the solution while decreasing the hardware and administrative requirements so that it becomes low touch while maintaining the performance?” We’ve had extremely strong success with that. If you project it to the Internet of Things such as deploying smart water delivery systems where there all kinds of sensors in the overall ecosystem – these are the types of solutions where the lower touch you make them and the easier to install and maintain they are, the more successful they’re able to be as the Internet of Things becomes a reality. Those are the fundamental capabilities that we are leveraging as we go forward. That really has contributed to the success we’ve had.

This segment is part 4 in the series : Thought Leaders in Big Data: Don DeLoach, CEO of Infobright
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